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Channel impulse response equalization based on genetic algorithm in mode division multiplexing

This paper proposed to use genetic algorithm (GA) as an adaptive algorithm for mode division multiplexing (MDM) equalization in order to minimize the mean square error as well as to maximize the similarity between the ideal signal and the MDM distorted signal. A significant result has been obtaine...

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Main Authors: Fareed, Alaa, Amphawan, Angela, Fazea, Yousef, Sajat, Mohd Samsu, Chit, Suwannit Chareen
Format: Article
Language:English
Published: Universiti Teknikal Malaysia Melaka 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/25942/1/JTECE%2010%2021%202018%20149%20154.pdf
http://repo.uum.edu.my/25942/
http://journal.utem.edu.my/index.php/jtec/article/view/4334
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spelling my.uum.repo.259422019-04-18T01:24:54Z http://repo.uum.edu.my/25942/ Channel impulse response equalization based on genetic algorithm in mode division multiplexing Fareed, Alaa Amphawan, Angela Fazea, Yousef Sajat, Mohd Samsu Chit, Suwannit Chareen QA75 Electronic computers. Computer science This paper proposed to use genetic algorithm (GA) as an adaptive algorithm for mode division multiplexing (MDM) equalization in order to minimize the mean square error as well as to maximize the similarity between the ideal signal and the MDM distorted signal. A significant result has been obtained of implementing GA on MDM equalization compared to other conventional algorithm such as least mean square (LMS) which is used dominantly in current equalizations. Universiti Teknikal Malaysia Melaka 2018 Article PeerReviewed application/pdf en http://repo.uum.edu.my/25942/1/JTECE%2010%2021%202018%20149%20154.pdf Fareed, Alaa and Amphawan, Angela and Fazea, Yousef and Sajat, Mohd Samsu and Chit, Suwannit Chareen (2018) Channel impulse response equalization based on genetic algorithm in mode division multiplexing. Journal of Telecommunication, Electronic and Computer Engineering, 10 (24). pp. 149-154. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/article/view/4334
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Fareed, Alaa
Amphawan, Angela
Fazea, Yousef
Sajat, Mohd Samsu
Chit, Suwannit Chareen
Channel impulse response equalization based on genetic algorithm in mode division multiplexing
description This paper proposed to use genetic algorithm (GA) as an adaptive algorithm for mode division multiplexing (MDM) equalization in order to minimize the mean square error as well as to maximize the similarity between the ideal signal and the MDM distorted signal. A significant result has been obtained of implementing GA on MDM equalization compared to other conventional algorithm such as least mean square (LMS) which is used dominantly in current equalizations.
format Article
author Fareed, Alaa
Amphawan, Angela
Fazea, Yousef
Sajat, Mohd Samsu
Chit, Suwannit Chareen
author_facet Fareed, Alaa
Amphawan, Angela
Fazea, Yousef
Sajat, Mohd Samsu
Chit, Suwannit Chareen
author_sort Fareed, Alaa
title Channel impulse response equalization based on genetic algorithm in mode division multiplexing
title_short Channel impulse response equalization based on genetic algorithm in mode division multiplexing
title_full Channel impulse response equalization based on genetic algorithm in mode division multiplexing
title_fullStr Channel impulse response equalization based on genetic algorithm in mode division multiplexing
title_full_unstemmed Channel impulse response equalization based on genetic algorithm in mode division multiplexing
title_sort channel impulse response equalization based on genetic algorithm in mode division multiplexing
publisher Universiti Teknikal Malaysia Melaka
publishDate 2018
url http://repo.uum.edu.my/25942/1/JTECE%2010%2021%202018%20149%20154.pdf
http://repo.uum.edu.my/25942/
http://journal.utem.edu.my/index.php/jtec/article/view/4334
_version_ 1644284462528200704
score 13.211869

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